Paper Title:
Fault Diagnosis of Shearer Based on Fuzzy Inference
  Abstract

The purpose of this study is to provide a correct and timely diagnosis mechanism of shearer failures by knowledge acquisition through a fuzzy inference system which could approximate expert experience. Concerning a question of uncertain knowledge expression and reasoning in shearer malfunction, the fuzzy inference theory is used in shearer malfunction fault diagnosis. The fuzzy relation matrix of faults and signs is deduced based on deep research of failure mechanism and expert experience, which agrees with fault and fault symptoms non one-to-one relationship and human thinking. Fault characteristic parameter is calculated to corresponding subordinate degree, then is operated with fuzzy relation matrix and get fault fuzzy vector. Finally, the shearer malfunction fault is diagnosed according to certain diagnosis principle. The example proves that the method has less calculation, explicit conclusion and other merits.

  Info
Periodical
Edited by
Zhou Mark
Pages
1577-1580
DOI
10.4028/www.scientific.net/AMM.52-54.1577
Citation
F. Gao, L. J. Xiao, W. Y. Zhong, W. Liu, "Fault Diagnosis of Shearer Based on Fuzzy Inference", Applied Mechanics and Materials, Vols. 52-54, pp. 1577-1580, 2011
Online since
March 2011
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$32.00
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